Course introduction Probability statistics and Quality Loss HW#1 Presentations Robust System Design 16881 mit 人 Session #1
Course Introduction Probability, Statistics and Quality Loss HW#1 Presentations Robust System Design 16.881 Session #1 MIT
Background SDM split-summer format Heavily front-loaded yC ems perspective oncern with scaling Product development track, cIPD Place in wider context of product realization Joint 16(Aero/ Astro) and 2(Mech e) Robust System Design 16881 mit 人 Session #1
Background • SDM split-summer format – Heavily front-loaded – Systems perspective – Concern with scaling • Product development track, CIPD – Place in wider context of product realization • Joint 16 (Aero/Astro) and 2 (Mech E) Robust System Design 16.881 Session #1 MIT
Course learning objectives o Formulate measures of performance ynthesize and select design concepts Identify noise factors e Estimate the robustness e Reduce the effects of noise e Select rational tolerances o Understand the context ofrd in the end -to-end business process of product realIzation Robust System Design 16881 mit 人 Session #1
Course Learning Objectives • Formulate measures of performance • Synthesize and select design concepts • Identify noise factors • Estimate the robustness • Reduce the effects of noise • Select rational tolerances • Understand the context of RD in the end-to-end business process of product realization. Robust System Design 16.881 Session #1 MIT
Instructors Dan Frey, Aero/Astro EDUCATING ENGINEERS Don clausing, Xerox Fellow R h Joe sale TA department of aeronautics and astronautics Skip revelling, Guest from RIT Dave miller. guest from mit aero astro Others Robust System Design 16881 mit 人 Session #1
Instructors • Dan Frey, Aero/Astro • Don Clausing, Xerox Fellow • Joe Saleh, TA • Skip Crevelling, Guest from RIT • Dave Miller, Guest from MIT Aero/Astro • Others ... Robust System Design 16.881 Session #1 MIT
Primary text Phadke, Madhav S, Quality engineering Using robust design Prentice Hall, 1989 JUALITY USING ROBUST MADHAWS PHADKE Robust System Design 16881 mit 人 Session #1
Primary Text Phadke, Madhav S., Quality Engineering Using Robust Design. Prentice Hall, 1989. Robust System Design 16.881 Session #1 MIT
Computer hardware software Required Access to a PC running Windows 95 or NT Office 95 or later Reasonable proficiency with Excel rovide d MathCad 7 Professional (for duration of course only) Robust System Design 16881 mit 人 Session #1
Computer Hardware & Software • Required – Access to a PC running Windows 95 or NT – Office 95 or later – Reasonable proficiency with Excel • Provided – MathCad 7 Professional (for duration of course only) Robust System Design 16.881 Session #1 MIT
Learning Approach Constructivism (Jean Piaget) knowledge is not simply transmitted Knowledge is actively constructed in the mind of the learner(critical thought is required) Constructionism(Seymour Papert) People learn with particular effectiveness when they are engaged in building things, writing software etc http:/el.www.media.mit.edu/groups/el/ Robust System Design 16881 mit 人 Session #1
Learning Approach • Constructivism (Jean Piaget) – Knowledge is not simply transmitted – Knowledge is actively constructed in the mind of the learner (critical thought is required) • Constructionism (Seymour Papert) – People learn with particular effectiveness when they are engaged in building things, writing software, etc. – http://el.www.media.mit.edu/groups/el/ Robust System Design 16.881 Session #1 MIT
Format of a Typical session Lecwre Well almost Reading assignment Quiz abs, case discussions, design projects Homework Robust System Design mit 人 16881 Session #1
Format of a Typical Session • Lecture Well, almost • Reading assignment • Q u iz • Labs, case discussions, design projects • Homework Robust System Design 16.881 Session #1 MIT
G raging Breakdown 40% Term project 30% Final exam 20% Homework(15 assignments) 10% Quizzes (15 quizzes ° No curve anticipated Robust System Design 16881 mit 人 Session #1
Grading • Breakdown – 40% Term project – 30% Final exam – 20% Homework (~15 assignments) – 10% Quizzes (~15 quizzes) • No curve anticipated Robust System Design 16.881 Session #1 MIT
Grading standards Grade Range Letter equivalent Meaning 97-100 A+ Exceptionally good performance demonstrating 94-96 superior understanding of the subject matter 90-93 A 87-90 B+ Good performance demonstrating capacity to use 84-86 BB appropriate concepts, a good understanding of 80-83 the subject matter and ability to handle problems 77-80 C+ Adequate performance demonstrating an 74-76 dequate understanding of the subject matter, an 70-73 ability to handle relatively simple problems, and adequate preparation 67-70 D+ Minimally acceptable performance 64-66 D demonstrating at least partial familiarity with the 60-63 D subject matter and some capacity to deal with relatively simple problems <60 F Unacceptable performance Robust System Design mit 人 16881 Session #1
Grading Standards Grade R a n ge Lett er Equivalent Meani ng 97-100 A+ Exceptionall y good p erformance demonstrating 94- 96 A superior underst anding of the s ubject m atter. 90- 93 A- 87- 90 B+ Good perfo rmance demonstratin g capacit y to use app ropriate con cepts, a g ood understandi n g of the subje ct matte r and abilit y to handle problems. 84- 86 B 80- 83 B- 77- 80 C+ Adequate p erform ance demonstratin g an adequ ate u n d erstandi n g of t he subject m atter, an abilit y to handle relatively simple p roble ms, a nd adequate p rep a ration. 74- 76 C 70- 73 C- 67- 70 D+ Mini m ally accept able p erform ance demonstr ating at le a st partial familia rit y with the subject m atter and so m e c apacity t o deal with r elatively simple problems. 64- 66 D 60- 63 D- <60 F Unaccept able p erformance. Robust System Design 16.881 Session #1 MIT
